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Software Engineer Ml Jobs in Massachusetts (NOW HIRING)

Generalist

Software Engineer: ML Infra

Somerville, MA · On-site

$120 - $160/hr

Optimizing and improving ML data loading transport and storage in highly distributed fully utilized environments. * Orchestration of robot inference fleets You might thrive in this role if you:

Verisk

Senior Software Engineer

Boston, MA · On-site

$125K - $150K/yr

We are hiring a Senior Software Engineer with deep expertise in AI/ML engineering and data-intensive systems to join our Catastrophic and Risk Solutions team. You will be a key technical contributor ...

YO AI Labs

AI/ML Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross ...

YO AI Labs

AI/ML Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross ...

YO AI Labs

AI/ML Software Engineer - Remote

Boston, MA · On-site

$96 - $165/hr

Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross ...

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Software Engineer Ml information

What does a software engineer ML do?

A Software Engineer, ML (Machine Learning) designs, develops, and deploys software systems that use machine learning algorithms to solve complex problems. They work on tasks such as building data pipelines, training and testing machine learning models, and integrating these models into production applications. They collaborate closely with data scientists, product managers, and other engineers to ensure that ML systems are scalable, efficient, and meet business objectives. Their work often involves programming, data analysis, and staying up-to-date with the latest developments in AI and machine learning.

What are the key skills and qualifications needed to thrive as a software engineer ML?

To thrive as a Software Engineer ML, you need strong proficiency in programming (especially Python), algorithms, machine learning theory, and a relevant degree in computer science or a related field. Experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud computing platforms and version control systems are typically required. Analytical thinking, problem-solving, and effective communication skills help you stand out in collaborative and complex project environments. These skills are vital to efficiently develop, deploy, and maintain robust machine learning solutions that drive business value.

What are some common challenges faced by software engineers working in machine learning, and how can they be addressed?

Software Engineers in Machine Learning often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with rapidly evolving frameworks and tools. Collaboration with data scientists and domain experts is essential to align technical solutions with business goals. Staying current through continuous learning and leveraging cloud-based platforms or MLOps practices can help streamline workflows and improve model deployment. Additionally, effective communication within cross-functional teams is crucial for addressing both technical and non-technical challenges.

What are popular job titles related to Software Engineer Ml jobs in Massachusetts?

For Software Engineer Ml jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ml jobs in Massachusetts look for?

The top searched job categories for Software Engineer Ml jobs in Massachusetts are:

Software Engineer Ml jobs near you
Infographic showing various Software Engineer Ml job openings in Massachusetts as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer: ML Optimization

Generalist

Somerville, MA • On-site

$100 - $150/hr

Other

Posted 17 days ago

Job description

About the Role

We internally call this team MBMB (More Big More Better). You will own optimizations on both the training and on-robot inference stacks. We are still in a regime of step-function, not incremental, gains.

You’ll be responsible for:

  • Making GPUs go brrrrr
  • Implementing ML, hardware, and software changes that lead to step-function gains
  • Optimizing both the inference and training stacks

You might thrive in this role if you:

  • Are proficient and stay current with the latest ML techniques for training and inference optimizations in transformer and diffusion based architectures
  • Will chase ML optimizations anywhere: From the CUDA kernels, to ML architecture, to frontend or backend network bottlenecks, CPU bottlenecks, NVLink and comms, to torch, numpy, and Python inefficiencies.
About Generalist

At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.

We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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